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Learning from Success and Failure: Acquiring Adaptive Dialogue Strategies for Social Robots
Traditional dialogue systems for social robots require both dialogue strategies and user attribute recognition, each demanding specialized expertise. However, data collection is costly in real-world deployments, and the resulting datasets often include many failure cases. In this study, we aim to au
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